每次都要查好久，简直烦死了，干脆列在这吧。然而知乎的表格编辑器简直是「 Bug之家」 @知乎小管家，只能贴图了。
NVidia 常见显卡架构及 CUDA 兼容性列表
（后两列表头写反了，见谅）
Markdown 版本：
| Architecture | Compute Compatibility | GPU Series |
| -- | -- | -- |
| Kepler | 3.0 | GTX 600*<br>Tesla K10
| Kepler | 3.5 | GTX 700*<br>GTX Titan Z/Black<br>Tesla K20/k40
| Kepler | 3.7 | Tesla K80
| Maxwell | 5.0 | GTX 900 (<=960)<br>Tesla M10 |
| Maxwell | 5.2 | GTX 900 (>=965)<br>Tesla M4/M6/M40/M60 |
| Pascal | 6.0 | Tesla P100 |
| Pascal | 6.1 | GTX 10 Series<br>NVidia Titan X/XP<br> Tesla P4/P6/P40 |
| Volta | 7.0 | NVidia Titan V<br>Tesla V100 |
| Turing | 7.5 | GTX 16 Series<br>RTX 20 Series<br>Nvidia Titan RTX<br>Tesla T4 |
| Ampere | 8.0 | A30/A100 |
| Ampere | 8.6 | RTX 30<br>A2/A10/A16/A40|
各 CUDA 版本所需最小驱动版本
CUDA 11.7 GA 515.43.04
CUDA 11.6 Update 2 510.47.03
CUDA 11.6 Update 1 510.47.03
CUDA 11.6 GA 510.39.01
CUDA 11.5 Update 2 495.29.05 (Bug!)
CUDA 11.5 Update 1 495.29.05 (Bug!)
CUDA 11.5 GA 495.29.05 (Bug!)
CUDA 11.4 Update 4 470.82.01
CUDA 11.4 Update 3 470.82.01
CUDA 11.4 Update 2 470.57.02
CUDA 11.4 Update 1 470.57.02
CUDA 11.4.0 GA 470.42.01
CUDA 11.3.1 Update 1 465.19.01
CUDA 11.3.0 GA 465.19.01
CUDA 11.2.2 Update 2 460.32.03
CUDA 11.2.1 Update 1 460.32.03
CUDA 11.2.0 GA 460.27.03
CUDA 11.1.1 Update 1 455.32
CUDA 11.1 GA 455.23
CUDA 11.0.3 Update 1 450.51.06
CUDA 11.0.2 GA 450.51.05
CUDA 11.0.1 RC 450.36.06
CUDA 10.2.89 440.33 (Bug! Needs patcp)
CUDA 10.1 (10.1.105 general release, and updates) 418.39
CUDA 10.0.130 410.48
CUDA 9.2 (9.2.148 Update 1) 396.37
CUDA 9.2 (9.2.88) 396.26
CUDA 9.1 (9.1.85) 390.46
CUDA 9.0 (9.0.76) 384.81
CUDA 8.0 (8.0.61 GA2) 375.26
CUDA 8.0 (8.0.44) 367.48
CUDA 7.5 (7.5.16) 352.31
CUDA 7.0 (7.0.28) 346.46
各版本 cuDNN 所需最小 CUDA 版本
cuDNN v8.4.0 (April 1st, 2022), for CUDA 11.6
cuDNN v8.4.0 (April 1st, 2022), for CUDA 10.2
cuDNN v8.3.3 (March 18th, 2022), for CUDA 11.5
cuDNN v8.3.3 (March 18th, 2022), for CUDA 10.2
cuDNN v8.3.2 (January 10th, 2022), for CUDA 11.5
cuDNN v8.3.2 (January 10th, 2022), for CUDA 10.2
cuDNN v8.3.1 (November 22nd, 2021), for CUDA 11.5
cuDNN v8.3.1 (November 22nd, 2021), for CUDA 10.2
cuDNN v8.3.0 (November 3rd, 2021), for CUDA 11.5
cuDNN v8.3.0 (November 3rd, 2021), for CUDA 10.2
cuDNN v8.2.4 (September 2nd, 2021), for CUDA 11.4
cuDNN v8.2.4 (September 2nd, 2021), for CUDA 10.2
cuDNN v8.2.2 (July 6th, 2021), for CUDA 11.4
cuDNN v8.2.2 (July 6th, 2021), for CUDA 10.2
cuDNN v8.2.1 (June 7th, 2021), for CUDA 11.3
cuDNN v8.2.1 (June 7th, 2021), for CUDA 10.2
cuDNN v8.2.0 (April 23rd, 2021), for CUDA 11.3
cuDNN v8.2.0 (April 23rd, 2021), for CUDA 10.2
cuDNN v8.1.1 (Feburary 26th, 2021), for CUDA 11.0,11.1 and 11.2
cuDNN v8.1.1 (Feburary 26th, 2021), for CUDA 10.2
cuDNN v8.1.0 (January 26th, 2021), for CUDA 11.0,11.1 and 11.2
cuDNN v8.1.0 (January 26th, 2021), for CUDA 10.2
cuDNN v8.0.5 (November 9th, 2020), for CUDA 11.1
cuDNN v8.0.5 (November 9th, 2020), for CUDA 11.0
cuDNN v8.0.5 (November 9th, 2020), for CUDA 10.2
cuDNN v8.0.5 (November 9th, 2020), for CUDA 10.1
cuDNN v8.0.4 (September 28th, 2020), for CUDA 11.1
cuDNN v8.0.4 (September 28th, 2020), for CUDA 11.0
cuDNN v8.0.4 (September 28th, 2020), for CUDA 10.2
cuDNN v8.0.4 (September 28th, 2020), for CUDA 10.1
cuDNN v8.0.3 (August 26th, 2020), for CUDA 11.0
cuDNN v8.0.3 (August 26th, 2020), for CUDA 10.2
cuDNN v8.0.3 (August 26th, 2020), for CUDA 10.1
cuDNN v8.0.2 (July 24th, 2020), for CUDA 11.0
cuDNN v8.0.2 (July 24th, 2020), for CUDA 10.2
cuDNN v8.0.2 (July 24th, 2020), for CUDA 10.1
cuDNN v8.0.1 RC2 (June 26th, 2020), for CUDA 11.0
cuDNN v8.0.1 RC2 (June 26th, 2020), for CUDA 10.2
cuDNN v7.6.5 (November 18th, 2019), for CUDA 10.2
cuDNN v7.6.5 (November 5th, 2019), for CUDA 10.1
cuDNN v7.6.5 (November 5th, 2019), for CUDA 10.0
cuDNN v7.6.5 (November 5th, 2019), for CUDA 9.2
cuDNN v7.6.5 (November 5th, 2019), for CUDA 9.0
cuDNN v7.6.4 (September 27, 2019), for CUDA 10.1
cuDNN v7.6.4 (September 27, 2019), for CUDA 10.0
cuDNN v7.6.4 (September 27, 2019), for CUDA 9.2
cuDNN v7.6.4 (September 27, 2019), for CUDA 9.0
cuDNN v7.6.3 (August 23, 2019), for CUDA 10.1
cuDNN v7.6.3 (August 23, 2019), for CUDA 10.0
cuDNN v7.6.3 (August 23, 2019), for CUDA 9.2
cuDNN v7.6.3 (August 23, 2019), for CUDA 9.0
cuDNN v7.6.2 (July 22, 2019), for CUDA 10.1
cuDNN v7.6.2 (July 22, 2019), for CUDA 10.0
cuDNN v7.6.2 (July 22, 2019), for CUDA 9.2
cuDNN v7.6.2 (July 22, 2019), for CUDA 9.0
cuDNN v7.6.1 (June 24, 2019), for CUDA 10.1
cuDNN v7.6.1 (June 24, 2019), for CUDA 10.0
cuDNN v7.6.1 (June 24, 2019), for CUDA 9.2
cuDNN v7.6.1 (June 24, 2019), for CUDA 9.0
cuDNN v7.6.0 (May 20, 2019), for CUDA 10.1
cuDNN v7.6.0 (May 20, 2019), for CUDA 10.0
cuDNN v7.6.0 (May 20, 2019), for CUDA 9.2
cuDNN v7.6.0 (May 20, 2019), for CUDA 9.0
cuDNN v7.5.1 (April 22, 2019), for CUDA 10.1
cuDNN v7.5.1 (April 22, 2019), for CUDA 10.0
cuDNN v7.5.1 (April 22, 2019), for CUDA 9.2
cuDNN v7.5.1 (April 22, 2019), for CUDA 9.0
cuDNN v7.5.0 (Feb 25, 2019), for CUDA 10.1
cuDNN v7.5.0 (Feb 21, 2019), for CUDA 10.0
cuDNN v7.5.0 (Feb 21, 2019), for CUDA 9.2
cuDNN v7.5.0 (Feb 21, 2019), for CUDA 9.0
cuDNN v7.4.2 (Dec 14, 2018), for CUDA 10.0
cuDNN v7.4.2 (Dec 14, 2018), for CUDA 9.2
cuDNN v7.4.2 (Dec 14, 2018), for CUDA 9.0
cuDNN v7.4.1 (Nov 8, 2018), for CUDA 10.0
cuDNN v7.4.1 (Nov 8, 2018), for CUDA 9.2
cuDNN v7.4.1 (Nov 8, 2018), for CUDA 9.0
cuDNN v7.3.1 (Sept 28, 2018), for CUDA 10.0
cuDNN v7.3.1 (Sept 28, 2018), for CUDA 9.2
cuDNN v7.3.1 (Sept 28, 2018), for CUDA 9.0
cuDNN v7.3.0 (Sept 19, 2018), for CUDA 10.0
cuDNN v7.3.0 (Sept 19, 2018), for CUDA 9.0
cuDNN v7.2.1 (August 7, 2018), for CUDA 9.2
cuDNN v7.1.4 (May 16, 2018), for CUDA 9.2
cuDNN v7.1.4 (May 16, 2018), for CUDA 9.0
cuDNN v7.1.4 (May 16, 2018), for CUDA 8.0
cuDNN v7.1.3 (April 17, 2018), for CUDA 9.1
cuDNN v7.1.3 (April 17, 2018), for CUDA 9.0
cuDNN v7.1.3 (April 17, 2018), for CUDA 8.0
cuDNN v7.1.2 (Mar 21, 2018), for CUDA 9.1 & 9.2
cuDNN v7.1.2 (Mar 21, 2018), for CUDA 9.0
cuDNN v7.0.5 (Dec 11, 2017), for CUDA 9.1
cuDNN v7.0.5 (Dec 5, 2017), for CUDA 9.0
cuDNN v7.0.5 (Dec 5, 2017), for CUDA 8.0
cuDNN v7.0.4 (Nov 13, 2017), for CUDA 9.0
各版本 TensorRT 所需最小 CUDA 版本以及最小 cuDNN 版本
TensorRT 8.4 EA for Linux x86_64 and CUDA 11.0, 11.1, 11.2, 11.3, 11.4, 11.5 and 11.6, cuDNN 8.3
TensorRT 8.2 GA Update 4 for Linux x86_64 and CUDA 11.0, 11.1, 11.2, 11.3, 11.4 and 11.5, cuDNN 8.2
TensorRT 8.0.3 GA for Linux x86_64 and CUDA 11.3, cuDNN 8.2
TensorRT 8.0.3 GA for Linux x86_64 and CUDA 10.2, cuDNN 8.2
TensorRT 7.2.3 for Ubuntu 18.04 and CUDA 11.1 & 11.2, cuDNN 8.1
TensorRT 7.2.3 for Ubuntu 16.04 and CUDA 11.1 & 11.2, cuDNN 8.1
TensorRT 7.2.3 for Ubuntu 18.04 and CUDA 11.0, cuDNN 8.1
TensorRT 7.2.3 for Ubuntu 16.04 and CUDA 11.0, cuDNN 8.1
TensorRT 7.2.3 for Ubuntu 18.04 and CUDA 10.2, cuDNN 8.1
TensorRT 7.2.3 for Ubuntu 16.04 and CUDA 10.2, cuDNN 8.1
(All above versions require cuBLAS 10.2.3.254)
TensorRT 7.1.3.4 for Ubuntu 18.04 and CUDA 11.0, cuDNN 8.0
TensorRT 7.1.3.4 for Ubuntu 18.04 and CUDA 10.2, cuDNN 8.0
TensorRT 7.1.3.4 for Ubuntu 16.04 and CUDA 11.0, cuDNN 8.0
TensorRT 7.1.3.4 for Ubuntu 16.04 and CUDA 10.2, cuDNN 8.0
